Abstract: A micro-electro-mechanical-systems (MEMS) device is disclosed that is configured to operate as a reservoir computer including performing sensing and computing co-locally. The MEMS device includes circuitry for: generating a modulated input signal based on an input signal; generating a MEMS deflection signal based on the modulated input signal and a time-delayed MEMS deflection signal; sampling the MEMS deflection signal N times during a time internal T to generate a MEMS deflection matrix, wherein MEMS deflection matrix has a size M×N, wherein N corresponds to a number of virtual nodes of the reservoir computer and M is a number of time steps of time interval T; receiving a trained weight matrix, wherein the trained weight matrix is trained by linear regression; and multiplying the MEMS deflection matrix by the trained weight matrix to generate an output signal that classifies the input signal.

Abstract: Systems, methods, and software program products for dispensing chemical solutions. A controller receives a signal from a pressure sensor indicative of a pressure of a diluent. The controller determines an expected flow rate of the diluent through an eductor based at least in part on the pressure of the diluent. The controller may further determine an expected concentration of a chemical product in the solution dispensed from a discharge port of the eductor. Based on the expected flow rated and concentration of the chemical product, the controller determines a duration of a dispense stage of a dispensing operation required to dispense a predetermined dose of the chemical product. The controller then causes the diluent to flow through the eductor for the determined duration of the dispense stage. A check valve on the output of the eductor prevents dissimilar chemicals from mixing and reduces a response time of the eductor.

Abstract: A set condition determining method for manufacturing facilities includes: inputting, into a trained model, a manufacturing condition for a target product and a setup condition that is for a product manufactured in same manufacturing facilities before manufacture of the target product and that reflects setup condition modification by an operator's manual manipulation; and obtaining a setup condition for the target product. The trained model has been trained with input being: manufacturing conditions for the target product; and setup conditions that are for the product manufactured in the same manufacturing facilities before the manufacture of the target product and that reflect setup condition modification by an operator's manual manipulation, and output being setup conditions for the target product.

Abstract: Systems and methods for managing airflow for cooling computing devices (e.g. in a data center) in normal and cold environments are disclosed. In one embodiment, the method comprises positioning the computing devices on a plurality of racks with air barriers to create hot and cold aisles. The computing devices may be configured in a first mode to draw in cool air the cold aisles and exhaust heated air into the hot aisles. Temperatures in the cold aisles may be periodically measured. In response to temperatures below a predetermined threshold, one or more of the cold aisles may be converted into a temporary hot aisle by adjusting ventilation openings and configuring a subset of the computing devices to temporarily draw in warm air from the temporary hot aisle.

Abstract: A method includes determining queue times associated with operations of a sequence recipe. The operations are associated with production of substrates in a substrate processing system. The method further includes generating a schedule based on the queue times. The method further includes transmitting the schedule to a controller of the substrate processing system. The controller is to control the substrate processing system to produce the substrates based on the schedule.

Abstract: A system includes a flexible datacenter and a power generation unit that generates power on an intermittent basis. The flexible datacenter is coupled to both the power generation unit and grid power through a local station. By various methods, a control system may detect a transition of the power generation unit into a stand-down mode and selectively direct grid power delivery to always-on systems in the flexible datacenter.

Abstract: Performance of a decision-making logic of a controller of an industrial automation control system is monitored during field operation of the controller. A supervisory system receives operational data collected during field operation of the controller. The supervisory system performs an analysis of the operational data to assess performance of the decision-making logic, using pre-operational data generated prior to field operation of the controller and/or a performance assessment logic generated prior to field operation of the controller. The supervisory system generates an analysis output based on a result of the analysis.

Abstract: A building heating system, including for heating water, such as tap water and/or utility water, of a building water system. The embodiments also relate to a kit of part to realize such a building heating system. The embodiments further relate to a method for controlling the building heating system.

Abstract: Techniques include converting an original or source image into a computer image file that uses guide curves to provide for a cutting of that image onto a surface of a material. One or more techniques comprise a process of converting the image into a computer image file, such as by pixelating or rasterizing the image. The process then controls a CNC knife to cut the surface of the material at different locations, different angles, different depths, and different range of motion, based on the processing of the computer image file, thereby creating the original image, or a very close replica, on the surface of the material. By deviating the cut lines from each other, the intensity of the image can be varied.

Abstract: An intent-based automation engineering method for automation of a production process includes: receiving an intent model, correlating to process intent, including production process functions, constraints on measurable properties on the production process functions, and/or production process function sequences required for the production process, as a received intent model; receiving a process model, correlating to process knowledge including a production process behavior, as a received process model; determining a machine-readable production model linking the received intent model to the received process model as a provided production model; and determining a control strategy for controlling the production process dependent on the provided production model as a determined control strategy.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system.

Abstract: A method of operating a three-dimensional (3D) metal object manufacturing apparatus selects operational parameters for operation of the printer to form conductive metal traces on substrates with dimensions within appropriate tolerances and with sufficient conductive material to carry electrical currents without burning up or becoming too hot. The method identifies the material of the substrate and the bulk metal being melted for ejection and uses this identification data to select the operational parameters. Thus, the method can form conductive traces and circuits on a wide range of substrate materials including polymeric substrates, semiconductor materials, oxide layers on semiconductor materials, glass, and other crystalline materials.

Abstract: In one embodiment, the disclosed apparatus is an in-situ, closed-loop bubble and foam detection and reduction system that includes a liquid-level sensor to determine a volume of a liquid in a fluid reservoir, a mass-detection device to determine a mass of the fluid reservoir and any liquid contained within the fluid reservoir, a processor electrically coupled to the liquid-level sensor and the mass-detection device to determine an actual volume of the liquid within the fluid reservoir, and a showerhead coupled to the processor and positioned above the fluid reservoir. The showerhead is activated by the processor when a volume of the liquid determined by the liquid-level sensor exceeds the actual volume of the liquid by a predetermined amount. Other apparatuses and methods are disclosed.

Abstract: There is provided a manufacturing facility diagnosis support apparatus that can support efficient diagnosis of a manufacturing facility even when past operation information on the manufacturing facility is not present. The diagnosis support apparatus includes a storage unit configured to store operation information in each of processes of a manufacturing facility for processing a material and information on a position of the material in association with each other, and an extraction unit configured to extract, when a range including the position of the material is designated, operation information changed at a position corresponding to the designated range, from the operation information stored in the storage unit. According to the diagnosis support apparatus, it is possible to support efficient diagnosis of the manufacturing facility even when the past operation information on the manufacturing facility is not present.

Abstract: Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

Abstract: A press machine includes a display that displays a plurality of images, and a processor that generates a plurality of images corresponding to a slide operation and a movement operation. The plurality of images include a first image having an annular shape, a second image having an arc shape, and a third image. A first region of the second image represents a movement time required for the movement operation, a third region represents a stop time required for a slide stop process, and a second region represents a delay time until the slide stop process starts after the movement time elapses. The processor displays the third image on the display as a determination element for determining whether the slide operation and the movement operation are settable in a relationship between the slide operation and the movement operation based on an input from the user interface.

Abstract: A technique to operating a kitchen system for at least partially automatic preparation of food, a kitchen system and a computer program product are proposed, wherein one or more preparation parameters for one or more preparation steps and/or one or more kitchen appliances of the kitchen system to be used for the preparation are determined, adjusted and/or selected automatically and using a database system.

Abstract: A management apparatus communicates with a device information transmitting apparatus via a communication network under a predetermined communication condition. The device information transmitting apparatus transmits device information about a predetermined device. The management apparatus includes a first measuring unit that measures communication quality in the communication network, a first determining unit that determines a degree of decrease in the communication quality, and a first control unit that executes first control in accordance with the degree of decrease in the communication quality. In the first control, the first control unit changes the communication condition in accordance with a degree of priority of each of a plurality of pieces of information transmitted between the device information transmitting apparatus and the management apparatus.

Abstract: A system and method for determining the operating conditions a machining operation includes a sensor array, a data acquisition system, and a computing device. The sensor array includes one or more sensors, such as a power, force, acoustic, fluid, or displacement sensor, configured to detect certain operational characteristics of the machining operating and machining tool. The sensor array is coupled to a computing device via a data acquisition system. The computing device runs software that outputs in human-readable format sensor data generated by the data acquisition system. The user can thereby detect anomalies in the machining operating, including errors or poor tolerances with the machining tool, such as a grinding of polishing wheel. The computing device can also send feedback signals to the machining tool to address detected anomalies. The computer software is configured to output up to eight (8) channels of data received from the sensor array.